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van Grootel, Leonie; Balachandran Nair, Lakshmi; Klugkist, Irene; van Wesel, Floryt – Research Synthesis Methods, 2020
In mixed methods reviewing, data from quantitative and qualitative studies are combined at the review level. One possible way to combine findings of quantitative and qualitative studies is to quantitize qualitative findings prior to their incorporation in a quantitative review. There are only a few examples of the quantification of qualitative…
Descriptors: Mixed Methods Research, Statistical Analysis, Qualitative Research, Research Methodology
Hu, Qian; Rangwala, Huzefa – International Educational Data Mining Society, 2020
Over the past decade, machine learning has become an integral part of educational technologies. With more and more applications such as students' performance prediction, course recommendation, dropout prediction and knowledge tracing relying upon machine learning models, there is increasing evidence and concerns about bias and unfairness of these…
Descriptors: Artificial Intelligence, Bias, Learning Analytics, Statistical Analysis
Meyer, Joerg M. – Teaching Statistics: An International Journal for Teachers, 2017
Stochastic independence is not an easy notion. Because it is part of the probability structure, it can have some surprising non-properties, which is beneficial for teachers and students to see illustrated. Neither is the relationship to causal independence an easy one.
Descriptors: Probability, Statistics, Statistical Analysis
Shear, Benjamin R.; Reardon, Sean F. – Journal of Educational and Behavioral Statistics, 2021
This article describes an extension to the use of heteroskedastic ordered probit (HETOP) models to estimate latent distributional parameters from grouped, ordered-categorical data by pooling across multiple waves of data. We illustrate the method with aggregate proficiency data reporting the number of students in schools or districts scoring in…
Descriptors: Statistical Analysis, Computation, Regression (Statistics), Sample Size
Linneman, Thomas J. – Teaching Sociology, 2021
While most sociology majors must take a statistics course, the content of this course varies widely across departments. Starting from the assumption that sociology students should be able to engage effectively with the sociological literature, this article examines the statistical techniques used in 2,804 journal articles--from four generalist…
Descriptors: Undergraduate Students, Majors (Students), Sociology, Statistics Education
Suzuki, Sara; Morris, Stacy L.; Johnson, Sara K. – Journal of Adolescent Research, 2021
How researchers use statistical analyses shapes their research toward or away from an anti-racist agenda. In this article, we demonstrate how developmental scientists can use the QuantCrit framework to critically examine the process of conducting quantitative analyses. In particular, we focus on mixture modeling to clearly demonstrate how the…
Descriptors: Statistical Analysis, Critical Theory, Race, Minority Groups
Bucca, Mauricio; Urbina, Daniela R. – Sociological Methods & Research, 2021
Log-linear models for contingency tables are a key tool for the study of categorical inequalities in sociology. However, the conventional approach to model selection and specification suffers from at least two limitations: reliance on oftentimes equivocal diagnostics yielded by fit statistics, and the inability to identify patterns of association…
Descriptors: Foreign Countries, Mathematical Models, Tables (Data), Regression (Statistics)
Erturk, Zafer; Oyar, Esra – International Journal of Assessment Tools in Education, 2021
Studies aiming to make cross-cultural comparisons first should establish measurement invariance in the groups to be compared because results obtained from such comparisons may be artificial in the event that measurement invariance cannot be established. The purpose of this study is to investigate the measurement invariance of the data obtained…
Descriptors: International Assessment, Foreign Countries, Attitude Measures, Mathematics
van Dijke-Droogers, Marianne; Drijvers, Paul; Bakker, Arthur – Educational Studies in Mathematics, 2021
Digital technology is indispensable for doing and learning statistics. When technology is used in mathematics education, the learning of concepts and the development of techniques for using a digital tool are known to intertwine. So far, this intertwinement of techniques and conceptual understanding, known as instrumental genesis, has received…
Descriptors: Statistics Education, Statistical Analysis, Computer Uses in Education, Concept Formation
Tadesse, Tefera; Gillies, Robyn M.; Manathunga, Catherine – Higher Education Research and Development, 2021
While cooperative learning (CL) has gained considerable attention in the current discourse about undergraduate quality education, it is minimally used in higher education classrooms, particularly in the developing countries context. Using a non-equivalent control groups design and a sample of undergraduate students (n = 340) from Jimma University,…
Descriptors: Cooperative Learning, Instructional Effectiveness, Student Satisfaction, Undergraduate Students
Gries, Stefan Th. – Language Learning, 2021
This methods showcase article provides a detailed overview of a mixed-effects modeling analysis of corpus data on the use of "that" in object and subject complementation by native speakers of English compared to its use by German and Spanish learners of English.
Descriptors: Computational Linguistics, Form Classes (Languages), Native Speakers, English
Alalouch, Chaham – Education Sciences, 2021
Cognitive styles affect the learning process positively if tasks are matched to the cognitive style of learners. This effect becomes more pronounced in complex education, such as in engineering. We attempted to critically assess the effect of cognitive styles and gender on students' academic performance in eight engineering majors to understand…
Descriptors: Cognitive Style, Gender Differences, Academic Achievement, Engineering Education
Pacewicz, Christine E.; Myers, Nicholas D. – Measurement in Physical Education and Exercise Science, 2021
Longitudinal measurement enables the examination of behavioral or psychological change. One approach to examining longitudinal measurements is the use of latent growth curve modeling (LGCM). This approach affords the assessment of inter- and intraindividual change. Yet, this approach likely is underused in exercise science. The purpose of the…
Descriptors: Exercise Physiology, Longitudinal Studies, Statistical Analysis, Change
Chen, Feng; Harris, Douglas N. – National Center for Research on Education Access and Choice, 2021
We study the combined effects of charter schools, and their various mechanisms, on a national level and across multiple outcomes. Using difference-in-differences and fixed effects methods, we find that charter entry (above 10 percent market share) increases high school graduation rate in geographic districts by about 2-4 percentage points and…
Descriptors: Charter Schools, Outcomes of Education, Statistical Analysis, School Districts
Kristin Porter; Luke Miratrix; Kristen Hunter – Society for Research on Educational Effectiveness, 2021
Background: Researchers are often interested in testing the effectiveness of an intervention on multiple outcomes, for multiple subgroups, at multiple points in time, or across multiple treatment groups. The resulting multiplicity of statistical hypothesis tests can lead to spurious findings of effects. Multiple testing procedures (MTPs)…
Descriptors: Statistical Analysis, Hypothesis Testing, Computer Software, Randomized Controlled Trials